Who We Are

The Research Computing (RC) group comprises a diverse team of individuals who collaborate with researchers on their computational needs, advise them on solutions, and implement new ones as needed. RC provides scientific and computing advice to researchers, both in support of the HMS high performance research cluster and towards other specialized and innovative solutions. The Research Data Management team also helps researchers better organize and manage data throughout the research lifecycle.

On occasion, the best solution we can provide is to direct clients to other service providers. We maintain close relationships with many groups including the Harvard Chan Bioinformatics Core, SBGrid Consortium, and Harvard Longwood Medical Area Research Data Management Working Group.

Leadership

Research Computing Consultants

Research Computing Consultants have both scientific and computing expertise. They advise scientists about HMS IT's available infrastructure and applications, help find effective strategies for computational life sciences research, and act as liaisons to other parts of IT to access additional resources and services.

Research Computing Operations

The Research Computing Operations team implements, supports, and maintains research applications and platforms like BioRender, Prism, REDCap, OMERO, Globus, eLab, and other systems and applications. 

Research Data Management

Research Data Management supports the research community with short, medium, and long term storage requirement planning, and works with researchers and groups to implement best practices in storing, accessing, and tracking data generated by their work in a sustainable and appropriate manner.

RC Project Management

Research Computing Project Management staff develop and implement processes and support initiatives to ensure Research Computing programs and projects meet organizational goals and requirements.

Partnerships

Harvard Chan Bioinformatics Core

HBC provides a single point of contact for Harvard researchers interested in bioinformatics support, applying genomic approaches together with established and developing methodologies from epidemiology, environmental health, biostatistics and bioinformatics to improve human health.

SB Grid Consortium

Provide structural biology laboratories with a tested and refined software infrastructure that includes a large library of scientific applications. Members also benefit from access to SBGrid-supported high performance computing (HPC) resources and training opportunities.

Harvard Biomedical Research Data Management Working Group

Data Management is the process of providing the appropriate labeling, storage, and access for data at all stages of a research project. Here you can find best practices, resources, and support services for biomedical research data. Discover the work of the Research Data Management Working Group.

Center for Computational Biomedicine

The Center for Computational Biomedicine (CCB) was created to harness and amplify computational and data sciences across Harvard Medical School, to strengthen the connective tissue between data science efforts at the medical school, across the Harvard ecosystem, at Harvard-affiliated hospitals and in industry.